Mark Huggett

4.0k total citations · 1 hit paper
27 papers, 2.0k citations indexed

About

Mark Huggett is a scholar working on Economics and Econometrics, Accounting and General Economics, Econometrics and Finance. According to data from OpenAlex, Mark Huggett has authored 27 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Economics and Econometrics, 14 papers in Accounting and 9 papers in General Economics, Econometrics and Finance. Recurrent topics in Mark Huggett's work include Financial Literacy, Pension, Retirement Analysis (14 papers), Fiscal Policy and Economic Growth (11 papers) and Economic theories and models (10 papers). Mark Huggett is often cited by papers focused on Financial Literacy, Pension, Retirement Analysis (14 papers), Fiscal Policy and Economic Growth (11 papers) and Economic theories and models (10 papers). Mark Huggett collaborates with scholars based in United States, Mexico and Canada. Mark Huggett's co-authors include Gustavo Ventura, Amir Yaron, Sandra Ospina, Stefan Krasa, Greg Kaplan, Greg Kaplan, Andrew G. Jamieson, Irina G. Tikhonova, Lindsay E. Robinson and Graeme Milligan and has published in prestigious journals such as American Economic Review, Journal of Political Economy and Journal of Medicinal Chemistry.

In The Last Decade

Mark Huggett

25 papers receiving 1.9k citations

Hit Papers

The risk-free rate in heterogeneous-agent incomplete-insu... 1993 2026 2004 2015 1993 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The risk-free rate in heterogeneous-agent incomplete-insurance economies
    1993 667 citations Mark Huggett profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mark Huggett United States 15 1.7k 1.1k 588 281 278 27 2.0k
Fatih Guvenen United States 21 2.2k 1.3× 1.0k 1.0× 669 1.1× 267 1.0× 347 1.2× 54 2.6k
Gustavo Ventura United States 16 1.2k 0.7× 637 0.6× 345 0.6× 387 1.4× 217 0.8× 38 1.6k
Wojciech Kopczuk United States 22 1.5k 0.9× 921 0.9× 206 0.4× 680 2.4× 228 0.8× 48 2.0k
Philippe Weil United States 18 1.8k 1.0× 639 0.6× 842 1.4× 143 0.5× 123 0.4× 34 2.2k
Mariacristina De Nardi United States 19 1.6k 0.9× 1.5k 1.4× 240 0.4× 280 1.0× 817 2.9× 65 2.5k
S. Rao Aiyagari United States 21 3.4k 2.0× 1.4k 1.3× 1.8k 3.1× 375 1.3× 136 0.5× 50 3.9k
Douglas W. Elmendorf United States 18 870 0.5× 377 0.4× 454 0.8× 86 0.3× 169 0.6× 52 1.2k
Jonas Agell Sweden 22 1.4k 0.8× 256 0.2× 385 0.7× 143 0.5× 263 0.9× 47 1.8k
Ayşe İmrohoroğlu United States 20 1.5k 0.9× 878 0.8× 495 0.8× 248 0.9× 394 1.4× 46 2.0k
Chris Telmer United States 15 1.5k 0.9× 669 0.6× 1.0k 1.7× 72 0.3× 120 0.4× 25 2.1k

Countries citing papers authored by Mark Huggett

Since Specialization
Citations

This map shows the geographic impact of Mark Huggett's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mark Huggett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Huggett more than expected).

Fields of papers citing papers by Mark Huggett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark Huggett. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mark Huggett. The network helps show where Mark Huggett may publish in the future.

Co-authorship network of co-authors of Mark Huggett

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Huggett. A scholar is included among the top collaborators of Mark Huggett based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mark Huggett. Mark Huggett is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Huggett, Mark, et al.. (2023). Optimal income taxation: An urban economics perspective. Review of Economic Dynamics. 51. 847–866.
2.
Mahindra, Amit, Laura Jenkins, Sara Marsango, et al.. (2022). Investigating the Structure–Activity Relationship of 1,2,4-Triazine G-Protein-Coupled Receptor 84 (GPR84) Antagonists. Journal of Medicinal Chemistry. 65(16). 11270–11290. 8 indexed citations
3.
Huggett, Mark, et al.. (2018). Top Earners: Cross-Country Facts. CBS Research Portal (Copenhagen Business School). 100(3). 4 indexed citations
4.
Huggett, Mark & Greg Kaplan. (2016). How large is the stock component of human capital?. Review of Economic Dynamics. 22. 21–51. 23 indexed citations
5.
Huggett, Mark, et al.. (2014). Interpreting life-cycle inequality patterns as an efficient allocation: Mission impossible?. Review of Economic Dynamics. 17(4). 613–629. 1 indexed citations
6.
Huggett, Mark & Greg Kaplan. (2010). Human capital values and returns: Bounds implied by earnings and asset returns data. Journal of Economic Theory. 146(3). 897–919. 11 indexed citations
7.
Huggett, Mark, Gustavo Ventura, & Amir Yaron. (2006). Human capital and earnings distribution dynamics. Journal of Monetary Economics. 53(2). 265–290. 98 indexed citations
8.
Huggett, Mark. (2005). Quantifying the Inefficiency of the US Social Insurance System. RePEc: Research Papers in Economics. 1 indexed citations
9.
Huggett, Mark. (2004). Precautionary Wealth Accumulation. The Review of Economic Studies. 71(3). 769–781. 19 indexed citations
10.
Huggett, Mark. (2003). When are comparative dynamics monotone?. Review of Economic Dynamics. 6(1). 1–11. 9 indexed citations
11.
Huggett, Mark, et al.. (2002). Precautionary wealth accumulation: a positive third derivative is not enough. Economics Letters. 76(3). 323–329. 7 indexed citations
12.
Huggett, Mark & Sandra Ospina. (2001). Does productivity growth fall after the adoption of new technology?. Journal of Monetary Economics. 48(1). 173–195. 48 indexed citations
13.
Huggett, Mark & Gustavo Ventura. (2000). Understanding why high income households save more than low income households. Journal of Monetary Economics. 45(2). 361–397. 79 indexed citations
14.
Huggett, Mark & Gustavo Ventura. (1999). On the Distributional Effects of Social Security Reform. Review of Economic Dynamics. 2(3). 498–531. 161 indexed citations
15.
Ventura, Gustavo & Mark Huggett. (1998). Sobre los efectos distributivos de la reforma de la Seguridad Social. Cuadernos Económicos de ICE. 75–108. 1 indexed citations
16.
Huggett, Mark. (1997). The one-sector growth model with idiosyncratic shocks: Steady states and dynamics. Journal of Monetary Economics. 39(3). 385–403. 77 indexed citations
17.
Huggett, Mark & Gustavo Ventura. (1997). On the Distributional E®ects of Social Security Reform. 12 indexed citations
18.
Huggett, Mark & Stefan Krasa. (1996). Money and storage in a differential information economy. Economic Theory. 8(2). 191–209. 14 indexed citations
19.
Huggett, Mark & Stefan Krasa. (1996). Money and storage in a differential information economy. Economic Theory. 8(2). 191–210. 35 indexed citations
20.
Huggett, Mark. (1996). Wealth distribution in life-cycle economies. Journal of Monetary Economics. 38(3). 469–494. 346 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Fatih Guvenen Breakdown of academic impact, for papers by Gustavo Ventura Breakdown of academic impact, for papers by Wojciech Kopczuk Breakdown of academic impact, for papers by Philippe Weil Breakdown of academic impact, for papers by Mariacristina De Nardi Breakdown of academic impact, for papers by S. Rao Aiyagari Breakdown of academic impact, for papers by Douglas W. Elmendorf Breakdown of academic impact, for papers by Jonas Agell Breakdown of academic impact, for papers by Ayşe İmrohoroğlu Breakdown of academic impact, for papers by Chris Telmer
Rankless by CCL
2026